base_model: huggyllama/llama-13b
model_type: LlamaForCausalLM
tokenizer_type: LlamaTokenizer
load_in_8bit: true
datasets:
  - path: anon8231489123/ShareGPT_Vicuna_unfiltered
    data_files: ShareGPT_V3_unfiltered_cleaned_split_no_imsorry.json
    type: sharegpt
dataset_prepared_path: last_run_prepared
val_set_size: 0.002
adapter:
lora_model_dir:
sequence_len: 2048
lora_r: 8
lora_alpha: 16
lora_dropout: 0.05
lora_target_modules:
  - q_proj
  - v_proj
lora_fan_in_fan_out: false
wandb_project:
wandb_watch:
wandb_run_id:
wandb_log_model:
output_dir: ./llama-13b-sharegpt
batch_size: 64
micro_batch_size: 2
warmup_steps: 1000
save_steps:
eval_steps:
num_epochs: 5
learning_rate: 0.00003
train_on_inputs: false
group_by_length: false
bf16: true
tf32: true
early_stopping_patience: 5
resume_from_checkpoint:
local_rank: